From the 1978 UNIDO template to AI: why a long study is no longer a sign of quality, and what an investor’s decision really needs.
The way feasibility studies are written is changing worldwide. Here are five ideas researchers and practitioners raise today, and how we apply them at Al Tamkeen.
A decades-old template
The most cited reference for industrial feasibility study structure is a guide published by UNIDO in 1978. Many firms still copy its sections verbatim. Weight isn't always a sign of quality — it can be an inherited habit.
We start from the investor's question, not a template.
Untested assumptions
One of the most influential management books, The Lean Startup, attacked the "detailed plan, then capital, then build" pattern because it rests on assumptions never validated before commitment.
We test the assumption with data before you pay.
The rigid document vs. the living framework
Multiple sources describe traditional plans as "long and rigid, outdated the moment circumstances change." That's why the Business Model Canvas emerged, condensing the model into one editable page.
We build a study that can be re-run whenever the numbers change.
Whoever pays the bill wants the answer to be "yes"
World Bank research on megaprojects found that costs are underestimated and benefits overestimated in the vast majority of cases, and that the party with a stake in approval tends toward optimism. The point isn't any one project — it's that numbers that feel comfortable aren't necessarily correct numbers.
Our numbers come from market data, and we tell you "no" if that's what the numbers say.
AI: speed, with a risk of fabrication
AI use in market analysis is accelerating, and many warn it can produce confident conclusions with no basis in the data — a fatal risk in a financial decision.
Every number in our study traces back to a source. AI interprets data, it doesn't invent it, and our team reviews it before it reaches you.
Want a feasibility study built on market data, not a template?
Contact Us Now